Editing Recommender system (section)

=== Multi-criteria recommender systems ===
Multi-criteria recommender systems (MCRS) can be defined as recommender systems that incorporate preference information upon multiple criteria. Instead of developing recommendation techniques based on a single criterion value, the overall preference of user u for the item i, these systems try to predict a rating for unexplored items of u by exploiting preference information on multiple criteria that affect this overall preference value. Several researchers approach MCRS as a multi-criteria decision making (MCDM) problem, and apply MCDM methods and techniques to implement MCRS systems.<ref>{{Cite journal |last1 = Lakiotaki |first1 = K. |last2 = Matsatsinis |last3 = Tsoukias |first3 = A |title = Multicriteria User Modeling in Recommender Systems |journal = IEEE Intelligent Systems |volume = 26 |issue = 2 |pages = 64–76 |doi=10.1109/mis.2011.33|date = March 2011 |citeseerx = 10.1.1.476.6726 |s2cid = 16752808 }}</ref> See this chapter<ref>{{cite web |url=http://ids.csom.umn.edu/faculty/gedas/NSFCareer/MCRS-chapter-2010.pdf |title=Multi-Criteria Recommender Systems |author=Gediminas Adomavicius |author2=Nikos Manouselis |author3=YoungOk Kwon  |archive-url=https://web.archive.org/web/20140630021251/http://ids.csom.umn.edu/faculty/gedas/NSFCareer/MCRS-chapter-2010.pdf |archive-date=2014-06-30 }}</ref> for an extended introduction.